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Our client is seeking a Senior Big Data Engineer to build and optimise large-scale data platforms that support advanced analytics, machine learning, and enterprise data products. This is an exciting opportunity to work on high-volume data processing solutions within a cloud-first environment while collaborating with multidisciplinary engineering teams. Key Responsibilities Design, develop, and maintain high-volume data ingestion and transformation pipelines. Build scalable feature stores, analytical datasets, and data processing frameworks. Optimise data workflows for performance, scalability, and reliability. Develop ETL/ELT solutions supporting enterprise data products. Collaborate with architects, data scientists, and platform engineers. Implement data quality, validation, and governance processes. Support cloud-native data engineering initiatives and platform optimisation. Produce technical documentation and support operational excellence. Requirements Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. 10+ years' experience in data engineering or big data development. Strong experience with Spark, Hadoop, or similar distributed data processing technologies. Experience building enterprise-scale data pipelines. Strong SQL and programming skills (Python, Scala, or Java). Experience working with cloud-based data platforms. Excellent analytical and problem-solving skills. Advantageous Experience with Azure Databricks or comparable cloud data platforms. Experience with Kafka or streaming technologies. Cloud certifications. Telecommunications, financial services, or enterprise analytics experience. Personal Attributes Detail-oriented with a passion for data engineering. Strong collaboration and communication skills. Self-driven and adaptable. Able to manage multiple priorities effectively. Committed to delivering high-quality, scalable data solutions. Only shortlisted candidates will be contacted. Submit your CV to [Email Address Removed] or call [Phone Number Removed]; . Visit our website for more exciting career opportunities: [URL Removed] Correspondence will only be conducted with short listed candidates. Should you not hear from us within 4 days, please consider your application unsuccessful. Desired Skills: Strong SQL communication skills Strong experience with Spark problem-solving skills Senior Big Data Engineer
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.